2007
DOI: 10.1007/s11227-006-0006-3
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A runtime resolution scheme for priority boost conflict in implicit coscheduling

Abstract: High-performance parallel and scientific applications are composed of multiple processes running on distinct CPUs that communicate frequently. Due to the synchronization needs of such applications, performance is greatly hampered if their processes are not scheduled simultaneously on the CPUs. Implicit coscheduling (ICS) is a well-known technique to address this problem in multi-programmed clusters, however, traditional ICS schemes do not incorporate steps to adequately deal with priority boost conflicts, lead… Show more

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Cited by 3 publications
(3 citation statements)
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“…According to these results, we can conclude that the proposed CC approach is very promising, especially for the hunting for wasted idle cycles in clusters, improving the overall system utilization, and this is in good agreement with the simulation results reported in [6].…”
Section: Workload Characterizationssupporting
confidence: 89%
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“…According to these results, we can conclude that the proposed CC approach is very promising, especially for the hunting for wasted idle cycles in clusters, improving the overall system utilization, and this is in good agreement with the simulation results reported in [6].…”
Section: Workload Characterizationssupporting
confidence: 89%
“…To address this problem, in our previous study [6], we proposed a flexible CDC scheme that aims to efficiently resolve priority boost conflicts, and showed its feasibility on multi-programmed clusters. In this paper, we exhaustively explore the design issues and implementation details of our Contention-aware Coscheduling (CC) scheme over Myrinet [18]-based high performance Linux clusters.…”
Section: Introductionmentioning
confidence: 99%
“…It has been ensured that execution time of each job must be nearly equal. During the workload generation arrival time, execution times are characterized to fit accurate workload model [23,24]. Our workload is then completed by the eight scientific computing i.e.…”
Section: Benchmarksmentioning
confidence: 99%